Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit312-06-20020706_212100_20020707_020500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/06 |
Start Time | | 2002/07/06 21:21 |
End Time | | 2002/07/07 02:03 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -20.37 |
Dipole Tilt, in Y-Z GSE plane, deg | | -4.57 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 138.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit312-06-20020706_212100_20020707_020500-constBx0 |
Minimum Dst Value | | -37 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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